Title :
Back-end technology for high-performance knowledge-representation systems
Author :
Hendler, James ; Stoffel, Kilian
Author_Institution :
Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
Abstract :
PARKA-DB is a scalable ontology management system that uses relational database techniques and supports the large ontologies needed in medical database system applications (among others). The medical system lets doctors load information about their patients´ conditions (specifically microbiological data) into a hybrid ontology. The doctor uses pure ontological information to load a KB containing a very large number of assertions about the patient. PARKA-DB supports a frame based AI language that uses high performance and scalable computing techniques
Keywords :
knowledge representation languages; medical expert systems; relational databases; KB; PARKA-DB; assertions; back-end technology; doctors; frame based AI language; high performance knowledge representation systems; hybrid ontology; large ontologies; medical database system applications; microbiological data; pure ontological information; relational database techniques; scalable computing techniques; scalable ontology management system; Artificial intelligence; Cities and towns; Concurrent computing; Databases; Internet; Intersymbol interference; Large scale integration; Memory management; Ontologies; Search engines;
Journal_Title :
Intelligent Systems and their Applications, IEEE
DOI :
10.1109/5254.769886
